# MedMCQA

License: permissive (Apache-2.0); Mdexa hosting: link-only. first-hand data-scope statement(s) allow commercial use and redistribution Risk flag(s): exam-derived, scraped.

- Commercial use: Yes · Derivatives: Yes · Redistribution: Yes · File on Mdexa: No
- License status: Permissive (Apache-2.0)
- Mdexa hosting: Link only — License permissive: first-hand data-scope statement(s) allow commercial use and redistribution. Risk flag(s): Exam-derived, scraped. Link only.
- Source risk: Exam-derived, Scraped
- Last verified: 2026-11-14
- Card: https://mdexa.com/datasets/medmcqa/

## Key facts

- Domain: Clinical medicine
- Content type: Question banks and benchmarks, QA, dialogue and instruction data
- Size: — — more than 194k high-quality AIIMS & NEET PG entrance exam MCQs
- Language: English
- Modality: Text
- Publisher: openlifescienceai
- Year: —

## Commercial use of MedMCQA

- Commercial use: Yes.
- License status: Permissive.
- Conditions: Notice kept
Verdicts record what sources state and are not legal advice.

## MedMCQA license evidence

first-hand data-scope statement(s) allow commercial use and redistribution

- **Hugging Face card metadata** — Apache-2.0: Statement found in snapshot s97 (api-hf) — ""apache-2.0"" — https://huggingface.co/datasets/openlifescienceai/medmcqa (2026-11-12; Page opened)
- **Hugging Face card metadata** — Apache-2.0: Statement found in snapshot s95 (readme) — "license: - apache-2.0" — https://huggingface.co/datasets/openlifescienceai/medmcqa (2026-11-12; Page opened)
- **Dataset page** — Apache-2.0: Statement found in snapshot s96 (page) — "License: apache-2.0" — https://huggingface.co/datasets/openlifescienceai/medmcqa (2026-11-12; Page opened)

## Source and lineage

—

## Known issues with MedMCQA

- The card's limitations, biases, and personal/sensitive-information sections are all placeholders marked "[Needs More Information]".

## Preflight

Not run (data not ingested).

## Downloading MedMCQA and API access

Mdexa does not serve files. Original source:
- https://huggingface.co/datasets/openlifescienceai/medmcqa

### Access recipe

- .gitattributes · 2 KB · https://huggingface.co/datasets/openlifescienceai/medmcqa/resolve/91c6572c454088bf71b679ad90aa8dffcd0d5868/.gitattributes
- README.md · 11 KB · https://huggingface.co/datasets/openlifescienceai/medmcqa/resolve/91c6572c454088bf71b679ad90aa8dffcd0d5868/README.md
- data/test-00000-of-00001.parquet · 936 KB · sha256 1d308841f0c82df363d3d638b33b69b8abd266b1e615ae5d2607dbb24c70beb1 · https://huggingface.co/datasets/openlifescienceai/medmcqa/resolve/91c6572c454088bf71b679ad90aa8dffcd0d5868/data/test-00000-of-00001.parquet
- data/train-00000-of-00001.parquet · 85.9 MB · sha256 b119434ba551517a6ec0ba1f7e0b4c029165ed284a4704f262ce37c791c493c5 · https://huggingface.co/datasets/openlifescienceai/medmcqa/resolve/91c6572c454088bf71b679ad90aa8dffcd0d5868/data/train-00000-of-00001.parquet
- data/validation-00000-of-00001.parquet · 1.5 MB · sha256 b768a1ea34afc9f80d3106d9b21f80fa8a00ec450a1f6cd641af72ca9e591021 · https://huggingface.co/datasets/openlifescienceai/medmcqa/resolve/91c6572c454088bf71b679ad90aa8dffcd0d5868/data/validation-00000-of-00001.parquet

```sh
curl -L --create-dirs -o ".gitattributes" "https://huggingface.co/datasets/openlifescienceai/medmcqa/resolve/91c6572c454088bf71b679ad90aa8dffcd0d5868/.gitattributes"
curl -L --create-dirs -o "README.md" "https://huggingface.co/datasets/openlifescienceai/medmcqa/resolve/91c6572c454088bf71b679ad90aa8dffcd0d5868/README.md"
curl -L --create-dirs -o "data/test-00000-of-00001.parquet" "https://huggingface.co/datasets/openlifescienceai/medmcqa/resolve/91c6572c454088bf71b679ad90aa8dffcd0d5868/data/test-00000-of-00001.parquet"
echo "1d308841f0c82df363d3d638b33b69b8abd266b1e615ae5d2607dbb24c70beb1  data/test-00000-of-00001.parquet" | sha256sum -c
curl -L --create-dirs -o "data/train-00000-of-00001.parquet" "https://huggingface.co/datasets/openlifescienceai/medmcqa/resolve/91c6572c454088bf71b679ad90aa8dffcd0d5868/data/train-00000-of-00001.parquet"
echo "b119434ba551517a6ec0ba1f7e0b4c029165ed284a4704f262ce37c791c493c5  data/train-00000-of-00001.parquet" | sha256sum -c
curl -L --create-dirs -o "data/validation-00000-of-00001.parquet" "https://huggingface.co/datasets/openlifescienceai/medmcqa/resolve/91c6572c454088bf71b679ad90aa8dffcd0d5868/data/validation-00000-of-00001.parquet"
echo "b768a1ea34afc9f80d3106d9b21f80fa8a00ec450a1f6cd641af72ca9e591021  data/validation-00000-of-00001.parquet" | sha256sum -c
```

## Citing MedMCQA

No recommended citation text.

## Machine-readable

- JSON: https://mdexa.com/datasets/medmcqa.json
- 2026-11-14 Re-adjudicated under the current rules; all machine checks still pass.
- 2026-11-14 Re-adjudicated under the current rules; all machine checks still pass.
- 2026-11-13 Re-adjudicated under the current rules; all machine checks still pass.
- 2026-11-13 Re-adjudicated under the current rules; all machine checks still pass.
- 2026-11-13 Re-adjudicated under the current rules; all machine checks still pass.
- 2026-11-13 Re-adjudicated under the current rules; all machine checks still pass.
- 2026-11-13 Re-adjudicated under the current rules; all machine checks still pass.
- 2026-11-13 Re-adjudicated under the current rules; all machine checks still pass.
- 2026-11-13 Re-adjudicated under the current rules; all machine checks still pass.
- 2026-11-13 Re-adjudicated under the current rules; all machine checks still pass.
- 2026-11-13 Re-adjudicated under the current rules; all machine checks still pass.
- 2026-11-13 Re-adjudicated under the current rules; all machine checks still pass.
- 2026-11-13 Added via the automated pipeline and passed all checks (gates, verbatim quotes, rule engine, two independent extractions).

## Continue in this database

This record is one of 109 processed and verified records (datasets, data resources and open models). To find others, call `https://mcp.mdexa.com/v1/datasets?q=<words>` or connect the MCP server at `https://mcp.mdexa.com/mcp`; no key is needed for 20 calls per minute. Rows are under 1 KB; an empty result means "not listed". For a list of items, one batch check (free account) returns a report. Guide: /agents.md. Similar records: CMB (Chinese Medical Benchmark) (https://mdexa.com/datasets/cmb/); 医学考试题库 JSON 数据集 (https://mdexa.com/datasets/medical-exam-question-bank-json/); PubMedQA (https://mdexa.com/datasets/pubmedqa/).